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Learning Objectives & Key Takeaways
0 / 4 Completed- Understand PostgreSQL core architecture and runtime execution model
- Audit real-world latency, throughput benchmarks, and memory footprint
- Implement zero-downtime deployment patterns with resilience guards
- Verify code snippets and architect blueprints against production SLOs
Practise it next
PostgreSQL interview questions, quiz and handbook in your Learning Dashboard
What you will learn
- EXPLAIN ANALYZE shows what the database actually did and how long it took.
- B-tree indexes serve equality, ranges and sorting; GIN serves arrays, JSON and full text.
- Composite index column order must match how you filter.
The query that was fast last month
Most database slowdowns are not mysterious. A table grows, a query that once scanned a thousand rows now scans a million, and pages that took 50 ms take five seconds.
The fix is usually an index, but the right index depends on exactly how the query filters and sorts. Guessing adds indexes that cost writes and never get used.
In the rest of this story
- Reading EXPLAIN ANALYZE
- Matching indexes to queries
- Index hygiene
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